huynhnhathao Goto Github PK
Name: Hao Huynh Nhat
Type: User
Company: University of Information Technology
Location: HCM City, Vietnam
Name: Hao Huynh Nhat
Type: User
Company: University of Information Technology
Location: HCM City, Vietnam
Naïve Bayes, Hidden Markov Model, Conditional Random Filed,...
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
My simple simulation of the Monty Hall game problem
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
An unofficial styleguide and best practices summary for PyTorch
Code for the "PyTorch for Audio + Music Processing" series on The Sound of AI YouTube channel.
Pytorch Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
Neighborhood-Based CF, Model-Based CF, implemented from scratch
Best Practices on Recommendation Systems
A Configurable Recommender Systems Simulation Platform
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Solutions of Reinforcement Learning, An Introduction
Python Implementation of Reinforcement Learning: An Introduction
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
Stock trading using Deep Reinforcement learning
Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)
How to build RNNs and LSTMs from scratch with NumPy.
Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".
slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet
A guide to smart contract security best practices
List of resources to learn smart contract hacking.
A smart marriage contract on Ethereum.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.